R: Graphics for Principal component Analysis

plot {amap} | R Documentation

## Graphics for Principal component Analysis

### Description

Graphics for Principal component Analysis

### Usage

    ## S3 method for class 'acp'
    plot(x,i=1,j=2,text=TRUE,label='Composants',col='darkblue',
    main='Individuals PCA',variables=TRUE,individual.label=NULL,...)
    ## S3 method for class 'acp'
    biplot(x,i=1,j=2,label='Composants',col='darkblue',length=0.1,
    main='Variables PCA',circle=TRUE,...)
    plot2(x,pourcent=FALSE,eigen=TRUE,label='Comp.',col='lightgrey',
    main='Scree Graph',ylab='Eigen Values')
    plotAll(x)

### Arguments

`x` | Result of acp or princomp
`i` | X axis
`j` | Y axis
`text` | a logical value indicating whether we use text or points for plot
`pourcent` | a logical value indicating whether we use pourcentage of values
`eigen` | a logical value indicating whether we use eigen values or standard deviation
`label` | label for X and Y axis
`individual.label` | labels naming individuals
`col` | Color of plot
`main` | Title of graphic
`ylab` | Y label
`length` | length of arrows
`variables,circle` | a logical value indicating whether we display circle or variables
`...` | cex, pch, and other options; see points.

### Value

Graphics:

`plot.acp` PCA for lines (individuals)

`plot.acp` PCA for columns (variables)

`plot2` Eigen values diagram (Scree Graph)

`plotAll` Plot both 3 graphs

### Author(s)

Antoine Lucas

### See Also

acpgen,acprob, princomp

### Examples

    data(lubisch)
    lubisch <- lubisch[,-c(1,8)]
    p <- acp(lubisch)
    plotAll(p)

[Package amap version 0.8-18 Index]